Table 2.
Case types, situations, and outcomes for which frequency and recency features were derived for input into the predictive model. Examples are given per category.
| Case category and classification example | Description | |
| Types | ||
|
|
Incident | Case where help is sent to the subscriber |
|
|
Accidental | Subscriber accidentally pushed the help button |
|
|
Check-in | Social call by subscriber |
| Situations | ||
|
|
Breathing problems, chest pain, dizziness, fall, illness, other pain | Incident with subscriber experiencing breathing problems, chest pain, dizziness, a fall, illness, or other pain |
| Outcomes | ||
|
|
Check-in | Social call |
|
|
EMSa—transport | EMS sent to subscriber’s house—subscriber transported to hospital |
|
|
Responder—no transport | Responder sent to subscriber’s house—subscriber not transported to hospital |
aEMS: emergency medical service.